334 search results - page 6 / 67 » Local Dimensionality Reduction: A New Approach to Indexing H... |
VLDB
2007
ACM
14 years 7 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
SIAMSC
2008
13 years 7 months ago
2008
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
CVPR
1997
IEEE
14 years 9 months ago
1997
IEEE
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
CBMS
2005
IEEE
13 years 9 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
SIGIR
2004
ACM
14 years 26 days ago
2004
ACM
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...